Core Utilization Optimization by Dividing Computational Blocks Across Cores

1. A method comprising: reading a neural network description describing a neural network comprising a plurality of functional units on a plurality of cores; selecting a functional unit of the plurality of functional units; dividing the functional unit into a plurality of subunits; connecting the plurality of subunits to the neural network in place of the functional unit; reallocating the plurality of functional units and the plurality of subunits between the plurality of cores; removing one or more unused core of the plurality of cores; writing an optimized neural network description based on the reallocation.

2. The method of claim 1 , wherein the neural network description and the optimized neural network description have substantially the same functionality.

3. The method of claim 1 , wherein the functional unit comprises a splitter.

4. The method of claim 1 , wherein dividing the functional unit comprises: identifying at least one axon providing input to the functional unit; replicating the at least one axon; and connecting the replicated axon to one of the plurality of subunits.

5. The method of claim 1 , wherein connecting the plurality of subunits to the neural network comprises: adding a splitter to the neural network; and connecting the splitter to each of the plurality of subunits.

6. The method of claim 1 , wherein connecting the plurality of subunits to the neural network comprises: connecting an axon of one of the plurality of subunits to a neuron of another of the plurality of subunits.

7. The method of claim 1 , wherein the plurality of subunits and the reallocation are determined by application of an optimization model.

8. The method of claim 7 , wherein the optimization model solves simultaneously for optimal division and reallocation.

9. A computer program product for optimizing a neurosynaptic network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: reading a neural network description describing a neural network comprising a plurality of functional units on a plurality of cores; selecting a functional unit of the plurality of functional units; dividing the functional unit into a plurality of subunits; connecting the plurality of subunits to the neural network in place of the functional unit; reallocating the plurality of functional units and the plurality of subunits between the plurality of cores; removing one or more unused core of the plurality of cores; writing an optimized neural network description based on the reallocation.

10. The computer program product of claim 9 , wherein the neural network description and the optimized neural network description have substantially the same functionality.

11. The computer program product of claim 9 , wherein the functional unit comprises a splitter.

12. The computer program product of claim 9 , wherein dividing the functional unit comprises: identifying at least one axon providing input to the functional unit; replicating the at least one axon; and connecting the replicated axon to one of the plurality of subunits.

13. The computer program product of claim 9 , wherein connecting the plurality of subunits to the neural network comprises: adding a splitter to the neural network; and connecting the splitter to each of the plurality of subunits.

14. The computer program product of claim 9 , wherein connecting the plurality of subunits to the neural network comprises: connecting an axon of one of the plurality of subunits to a neuron of another of the plurality of subunits.

15. The computer program product of claim 9 , wherein the plurality of subunits and the reallocation are determined by application of an optimization model.

16. The computer program product of claim 15 , wherein the optimization model solves simultaneously for optimal division and reallocation.